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Tech Stack Used

Tech Stack Used

The project uses the following technologies and Python libraries.

Python

Python is the primary programming language used for data preprocessing, visualization, and machine learning.

Google Colab

Google Colab provides the notebook environment where the project is implemented.

Pandas

Used for:

  • Loading datasets
  • Data manipulation
  • Feature engineering
  • Statistical summaries

NumPy

Supports numerical computations and array operations.

Matplotlib

Used to create visualizations such as:

  • Line charts
  • Scatter plots
  • Histograms

Seaborn

Provides statistical visualizations including:

  • Correlation heatmaps
  • Distribution plots

Scikit-learn

Used for:

  • Train-Test Split
  • KNN Regression
  • GridSearchCV
  • Model Evaluation